Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for raising precision of shifted image before superposition by using root mean square velocity

A technology of pre-stack migration imaging and RMS velocity, applied in seismic signal processing and other directions, which can solve the problems of inaccurate formation imaging, large error, and no RMS velocity calculation method.

Inactive Publication Date: 2006-07-05
BC P INC CHINA NAT PETROLEUM CORP +1
View PDF0 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the structure of the subterranean formation is complex, the error caused by this correction is very large, and the root mean square velocity calculated in the above-mentioned way cannot make accurate imaging of the formation with complex contact relationship
In the existing seismic data processing system, there is no suitable RMS velocity calculation method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for raising precision of shifted image before superposition by using root mean square velocity
  • Method for raising precision of shifted image before superposition by using root mean square velocity
  • Method for raising precision of shifted image before superposition by using root mean square velocity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Embodiment 1 The application results of the present invention in a model (marmous) data, the model is designed according to the actual underground geological structure in a certain area, representing typical complex structural features. The model data contains 240 shot sets, each shot set contains 96 seismic traces, the record length of each seismic trace is 3000ms, and the sampling interval is 2ms.

[0038] Firstly, the seismic data are sorted into common center point gather data sets, and the three coordinates of the data sets are: common center point position, offset distance and vertical reflection time. The maximum number of coverages per gather is 60. figure 1 is the common center point gather data, and the common center point data set is used as the input data of the first step of the calculation step of the present invention.

[0039] Utilize the technology of the present invention, for the whole input seismic data, use constant velocity v 1 Complete the follo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for improving prestack migration imaging accuracy by mean square root speed in the fields of seismic data routine processing, depth migration processing and seismic explanation, dynamically correcting and stacking common midpoint gather data by a series of preset normal speeds in the time and space domains, respectively, converting the prestack common midpoint gather data into common midpoint stacked speed gather data, separating the common midpoint stacked speed gather data into common normal speed section data, and making filtration and 2D weighting processing on seismic amplitude values in the normal speed scanning gather at each common midpoint to obtain a vertical mean square root speed spectrum. It is suitable for any complex construction condition. The obtained results are reliable and the speed resolution reflected by the mean square root is higher.

Description

technical field [0001] The invention relates to the fields of conventional seismic data processing, depth migration processing, seismic interpretation and the like, and is a method for improving pre-stack migration imaging precision by using root mean square velocity. Background technique [0002] In different stages of petroleum seismic exploration, such as seismic data processing, seismic data interpretation, reservoir prediction and reservoir description, etc., geological analysis and imaging are required. In imaging processing, the propagation velocity of seismic waves in the formation is the most important to describe the underground formation. (See Principles of Seismic Exploration edited by Lu Jimeng, page 189). According to the different original data, calculation methods and uses of the velocity information, the seismic velocity can be divided into: stacking velocity, root mean square velocity, average velocity and layer velocity, etc. Among them, the root mean squa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01V1/28G01V1/36
Inventor 王狮虎李桂芳王雪梅刘增强
Owner BC P INC CHINA NAT PETROLEUM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products